Publication detail

Wavelet Transform in Electrocardiography - Data Compression

PROVAZNÍK, I. KOZUMPLÍK, J.

Original Title

Wavelet Transform in Electrocardiography - Data Compression

Type

journal article - other

Language

English

Original Abstract

An application of the wavelet transform to electrocardiography is described in the paper. The transform is used as a first stage of a lossy compression algorithm for efficient coding of rest ECG signals. The proposed technique is based on the decomposition of the ECG signal into a set of basic functions covering the time-frequency domain. Thus, nonstationary character of ECG data is considered. Some of the time-frequency signal components are removed because of their low influence to signal characteristics. Resulted components are efficiently coded by quantization, composition into a sequence of coefficients and compression by a run-length coder and a entropic Huffman coder. The proposed wavelet-based compression algorithm can compress data to average code length about 1 bit.sample-1. The algorithm can be also implemented to a real-time processing system when wavelet transform is computed by fast linear filters described in the paper.

Keywords

ECG signals, discrete wavelet transform, data compression, Huffman coding

Authors

PROVAZNÍK, I.; KOZUMPLÍK, J.

RIV year

2004

Released

1. 1. 1997

ISBN

1386-5056

Periodical

Int. Journal of Medical Informatics, ELSEVIER

Year of study

45

Number

8

State

Ireland

Pages from

111

Pages to

126

Pages count

16

BibTex

@article{BUT39878,
  author="Valentine {Provazník} and Jiří {Kozumplík}",
  title="Wavelet Transform in Electrocardiography - Data Compression",
  journal="Int. Journal of Medical Informatics, ELSEVIER",
  year="1997",
  volume="45",
  number="8",
  pages="16",
  issn="1386-5056"
}